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For Companies At a Glance
- Tasks: Join a small team to analyse data, create reports, and build visualisations.
- Company: Be part of a Not-for-Profit driving the Green Energy revolution.
- Benefits: Enjoy hybrid working with 3 days in the office and opportunities for growth.
- Why this job: Gain hands-on experience in data science while making a positive impact on the environment.
- Qualifications: 3+ years as a Data Analyst/BI Developer; Power BI and SQL skills are essential.
- Other info: Exposure to Snowflake and statistical analysis tools like Python/R is a plus.
The predicted salary is between 30000 - 42000 £ per year.
Hybrid working - 3 days in the office.
Opportunity to join a Not-for-Profit within the regulatory sector and promoting the Green Energy revolution.
Work in a small team and liaise directly with stakeholders.
Create reports, analyse data, build visualisations.
Consult with stakeholders and present opportunity to gain experience with more advanced Data Science related analysis.
Skills & experience required:
- 3 years+ as Data Analyst / BI Developer.
- Power BI and SQL essential.
- Snowflake - desirable.
- Exposure to Data Science / statistical analysis - Python / R - desirable.
- Degree in STEM subject.
Contact Detail:
Career Concept Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with Power BI and SQL Server, as these are essential for the role. Consider creating a portfolio of projects that showcase your skills in data visualisation and analysis using these tools.
✨Tip Number 2
Network with professionals in the regulatory and green energy sectors. Attend relevant events or webinars to connect with potential colleagues and learn more about the industry, which can give you an edge during interviews.
✨Tip Number 3
Brush up on your knowledge of Snowflake and any statistical analysis tools like Python or R. Even if they're not mandatory, demonstrating familiarity with these technologies can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience working with stakeholders. Think of examples where you've successfully communicated complex data insights, as this will be crucial in a small team environment.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Analyst or BI Developer, particularly focusing on your skills with Power BI and SQL. Mention any relevant projects or achievements that demonstrate your ability to analyse data and create visualisations.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the opportunity to work in the not-for-profit sector promoting green energy. Discuss how your background aligns with the job requirements, especially your experience with Snowflake and any exposure to data science.
Showcase Relevant Skills: When detailing your skills, emphasise your proficiency in Power BI and SQL, as these are essential for the role. If you have experience with Python or R, mention it as a desirable skill that could set you apart from other candidates.
Prepare for Interviews: If invited for an interview, be ready to discuss your previous work experiences in detail. Prepare examples of how you've created reports, analysed data, and liaised with stakeholders. This will demonstrate your capability to contribute effectively to the team.
How to prepare for a job interview at Career Concept
✨Showcase Your Technical Skills
Make sure to highlight your experience with Power BI and SQL during the interview. Be prepared to discuss specific projects where you've used these tools to create reports or visualisations, as this will demonstrate your practical knowledge.
✨Understand the Company’s Mission
Since the role is within a Not-for-Profit focused on the Green Energy revolution, take some time to research the organisation's goals and values. Showing that you align with their mission can set you apart from other candidates.
✨Prepare for Stakeholder Interaction
As you'll be liaising directly with stakeholders, think of examples where you've successfully communicated complex data insights to non-technical audiences. This will showcase your ability to bridge the gap between data analysis and business needs.
✨Brush Up on Data Science Concepts
Even if Snowflake and programming languages like Python or R are not mandatory, having a basic understanding of data science concepts can be beneficial. Be ready to discuss any relevant experience or coursework that relates to statistical analysis.
